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  • BUS607: Data-Driven Decision-Making
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  • Unit 3 Review Slides
    Course Introduction
    Course Syllabus
    Unit 1: Introduction to Data-Driven Decision-Making
    1.1: What is Data-Driven Decision-Making?
    Data-Driven Decision-Making
    Data-Driven Decisions
    Project Lifecycle
    More on Data-Driven Decisions
    1.1.1: Data-Driven Information
    Making Data-Driven Decisions
    Data-Driven Decision Support
    1.1.2: Data-Driven Learning
    Process Indicators
    Goal-Setting for Achievement
    1.1.3: Data-Driven Science
    Theory Driven or Process Driven Predictions?
    Learn Data Science
    1.2: Using Data-Driven Decision-Making in the Real World
    Data-Driven Development
    Using Data Responsibly
    How Data Informs Business
    Decision-Making in Management
    The Advantage of Digital Decision-Making
    The Effects of using Business Intelligence Systems
    Unit 1 Discussion
    Unit 1 Study Resources
    Unit 1 Review Video
    Unit 1 Review Slides
    Study Guide: Unit 1
    Unit 1 Assessment
    Unit 1 Assessment
    Unit 2: Transforming to a Data-Driven Decision-Making Enterprise
    2.1: DDDM Implementation Continuums
    Developing an Analytical Mindset
    Data-Driven Decision-Making Change Model
    2.1.1: Data/Technology
    The Data and Technology Continuum
    2.1.2: Organizational/People
    The Organization Continuum
    2.1.3: Process/Workflow
    The Process Continuum
    2.2: Critical Success Factors
    Critical Success Factors
    Unit 2 Discussion
    Unit 2 Study Resources
    Unit 2 Review Video
    Unit 2 Review Slides
    Study Guide: Unit 2
    Unit 2 Assessment
    Unit 2 Assessment
    Unit 3: The Role of Leadership
    3.1: The Role of Leadership
    Leadership Needs in the 21st Century
    Becoming a Data Driven PM
    Embracing Big Data and Data Analytics
    3.2: Leadership versus Other Critical Success Factors
    Leadership and Innovation
    3.3: What Is Effective Leadership?
    Effecitve Leaders
    Effective vs. Poor Leadership
    Leadership Development Practices
    Unit 3 Discussion
    Unit 3 Study Resources
    Unit 3 Review Video
    Unit 3 Review Slides
    Study Guide: Unit 3
    Unit 3 Assessment
    Unit 3 Assessment
    Unit 4: Types of Data
    4.1: Quanitative Data
    Qualitative versus Quantitative Data
    Characteristics of Qualitative and Quantitative Data
    4.2: Qualitative Data
    Qualitative and Quantitative Data
    More on Qualitative and Quantitative Data
    Quantitative versus Qualitative Data Summary
    4.3: Big Data
    What is Big Data?
    Big Data in New Product Development
    4.4: Types of Analytics
    Big Data Analytics
    Learning Analytics
    Examples of Analytical Development
    Unit 4 Discussion
    Unit 4 Study Resources
    Unit 4 Review Video
    Unit 4 Review Slides
    Study Guide: Unit 4
    Unit 4 Assessment
    Unit 4 Assessment
    Unit 5: Deriving Data Insights
    5.1.1: Frequency Tables
    Frequency, Frequency Tables, and Levels of Measurement
    Frequency Tables
    5.1.2: Frequency Distributions
    The Statistical Language of Frequency Distribution
    5.1.3: Graphic Presentations
    Presenting Data
    Summary of Presenting Data
    5.2: Charts, Graphs, and Tables
    Visual Aids
    Visual Aids Summary
    Using PowerPoint with Excel
    Using Charts with Microsoft
    Unit 5 Discussion
    Unit 5 Study Resources
    Unit 5 Review Video
    Unit 5 Review Slides
    Study Guide: Unit 5
    Unit 5 Assessment
    Unit 5 Assessment
    Unit 6: Creating Effective Visualizations
    6.1: Best Practices in Visualization
    Data Visualization
    6.2: How to Think about Visualization
    Importance of Data Visualization
    6.3: Telling a Story with Data
    Storytelling with Data and GGPlot
    Presenting Data
    Storytelling and Visualization
    Unit 6 Discussion Prompts
    Unit 6 Study Resources
    Unit 6 Review Video
    Unit 6 Review Slides
    Study Guide: Unit 6
    Unit 6 Assessment
    Unit 6 Assessment
    Unit 7: Database Marketing and Customer Relationship Management
    7.1: Database Marketing
    The 5 Money-Making Benefits of Database Marketing
    7.2: Customer Relationship Management (CRM)
    Customer Relationship Management
    CRM Systems
    7.2.1: Components of CRM
    Customer Database
    CRM Flowchart
    7.2.2: CRM in Industry
    Building Effective CRM Systems
    Customer Relationship Management in the Agricultural Machinery Market
    7.2.3: The Relationship between CRM and Customer Lifetime Value (CLV)
    Marketing Information and Customer Relationship Management (CRM)
    Customer Lifetime Value
    Unit 7 Discussion
    Unit 7 Study Resources
    Unit 7 Review Video
    Unit 7 Review Slides
    Study Guide: Unit 7
    Unit 7 Assessment
    Unit 7 Assessment
    Unit 8: Data-Driven Uses and Misuses
    8.1: Collecting Data
    Collecting Data
    Data Collection Methods
    8.1.1: How Data Is Collected
    Types of Data Sources
    8.1.2: Using Business Objectives to Target Data
    Business Data
    8.2: Making Business Decisions Using Data
    Analyzing Data
    Management Information Systems
    Building a Strategy
    Transaction Processing System
    Unit 8 Discussion
    Unit 8 Study Resources
    Unit 8 Review Video
    Unit 8 Review Slides
    Study Guide: Unit 8
    Unit 8 Assessment
    Unit 8 Assessment
    Course Feedback Survey
    Course Feedback Survey
    Study Guide
    BUS607 Study Guide
    Certificate Final Exam
    BUS607: Certificate Final Exam
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  1. BUS607: Data-Driven Decision-Making
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Saylor Academy © 2010-2025 except as otherwise noted. Excluding course final exams, content authored by Saylor Academy is available under a Creative Commons Attribution 3.0 Unported license. Third-party materials are the copyright of their respective owners and shared under various licenses. See detailed licensing information. Saylor Academy®, Saylor.org®, and Harnessing Technology to Make Education Free® are trade names of the Constitution Foundation, a 501(c)(3) organization through which our educational activities are conducted.